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|Title:||Modeling intermittent drying using an adaptive neuro-fuzzy inference system|
|Citation:||Jumah, R., Mujumdar, A.S. (2005). Modeling intermittent drying using an adaptive neuro-fuzzy inference system. Drying Technology 23 (5) : 1075-1092. ScholarBank@NUS Repository. https://doi.org/10.1081/DRT-200059138|
|Abstract:||Artificial intelligence systems such as artificial neural networks (ANN) and fuzzy inference systems (FIS) are widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. The advantages of a combination of ANN and FIS are obvious. This article presents the application of a hybrid neuro-fuzzy system called adaptive-network-based fuzzy inference system (ANFIS) to time dependent drying processes and is illustrated by an application to model intermittent drying of grains in a spouted bed. An introduction to the ANFIS modeling approach is also presented. The model showed good performance in terms of various statistical indices. Copyright © 2005 Taylor & Francis, Inc.|
|Source Title:||Drying Technology|
|Appears in Collections:||Staff Publications|
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